Reference signal processing for aging state recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43962634" target="_blank" >RIV/49777513:23220/21:43962634 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9542898" target="_blank" >https://ieeexplore.ieee.org/document/9542898</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/AE51540.2021.9542898" target="_blank" >10.23919/AE51540.2021.9542898</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reference signal processing for aging state recognition

Popis výsledku v původním jazyce

In this work we presented the results of the experiment in which a reference signal was used for determining degradation level of cable insulation. A set of reference signals was constructed using programing language. Onwards, each variant of the constructed signal was subsequently sent to the coaxial cable by aim of a following: digital–analog converter, radio frequency power amplifier with high linearity, and high frequency current injection air core transformer. The signals, passed through the cable, were received with a current transformer and processed using algorithm written in Python language. Processed signals were utilized for constructing data set for modern one-dimensional convolutional neural network. Neural network was defined in Keras, then optimal configuration of the network structure and its parameters were found. Also, visualization by gradient–based localization method was used to interpret the results of classification for constructed classes. Based on the classification accuracy, the most appropriate parameters of reference signal were determined.

Název v anglickém jazyce

Reference signal processing for aging state recognition

Popis výsledku anglicky

In this work we presented the results of the experiment in which a reference signal was used for determining degradation level of cable insulation. A set of reference signals was constructed using programing language. Onwards, each variant of the constructed signal was subsequently sent to the coaxial cable by aim of a following: digital–analog converter, radio frequency power amplifier with high linearity, and high frequency current injection air core transformer. The signals, passed through the cable, were received with a current transformer and processed using algorithm written in Python language. Processed signals were utilized for constructing data set for modern one-dimensional convolutional neural network. Neural network was defined in Keras, then optimal configuration of the network structure and its parameters were found. Also, visualization by gradient–based localization method was used to interpret the results of classification for constructed classes. Based on the classification accuracy, the most appropriate parameters of reference signal were determined.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference on Applied Electronics (AE 2021) : /proceedings/

ISBN

978-80-261-0972-3

ISSN

1803-7232

e-ISSN

1805-9597

Počet stran výsledku

4

Strana od-do

119-122

Název nakladatele

University of West Bohemia

Místo vydání

Pilsen

Místo konání akce

Pilsen, Czech Republic

Datum konání akce

7. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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